Executive Programme in AI for Supply Chain & Operations (formally know as Executive Management Programme in Supply chain and Operations Analytics (Batch-4))

Supply chains are becoming more connected, data-driven and increasingly influenced by Artificial Intelligence. The Executive Programme in AI for Supply Chain and Operations – Batch 04, formerly known as the Executive Management Programme in Supply Chain and Operations Analytics – Batch 03, is designed to help professionals integrate AI with core supply chain principles to address contemporary challenges in planning, forecasting, inventory management, logistics, sourcing and operational decision-making.

The programme combines established supply chain frameworks with Generative AI, Agentic AI, predictive and prescriptive analytics, optimization and intelligent decision-making. Participants work with realistic supply chain datasets, explore practical AI applications and analyses business cases across industries, culminating in an applied capstone project.

Case Study: Amazon’s AI-driven supply chain strategy alignment across fulfillment networks

Tools: Power BI (AI visuals), Cursor

Case Study: Walmart’s use of generative AI copilots for supplier and inventory queries

Tools: Python, Cursor, Generative/Agentic AI platforms

Case Study: Unilever’s AI-based demand forecasting for FMCG replenishment

Tools: Python, R, Power BI

Case Study: Zara’s inventory analytics for fast-fashion short life-cycle products

Tools: Advanced Excel with Solver, Python, CPLEX

Case Study: P&G’s channel coordination initiatives to dampen bullwhip effects

Tools: Python (anomaly detection libraries), Power BI

Case Study: DHL/DB Schenker’s AI-enabled logistics network redesign

Tools: anyLogistix, CPLEX, Python

Case Study: Flipkart’s AI-driven vendor selection and sourcing optimization

Tools: Power BI, Python, Generative AI (negotiation simulation)

Case Study: Toyota’s resilience response to chip-supply disruptions using predictive analytics

Tools: Python, R, CPLEX

Case Study: Air India’s AI-based revenue management practices

Tools: Advanced Excel with Solver, Power BI, Python

Case Study: Saint-Gobain’s AI-supported sustainability and ethical sourcing programme

Tools: Cursor, Python, Power BI

The programme culminates in an applied group capstone that enables participants to bring together supply chain fundamentals, analytics and AI to address a realistic business challenge.

Participants may work on areas such as:

The project will be faculty-mentored and conclude with a final presentation to an evaluation panel. Participants may draw upon the full range of tools introduced during the programme.

Note: The list of tools and topics are indicative and may be modified at the discretion of the Programme Coordinator to meet the programme requirements.

Eligibility Criteria

Any Graduates

AI-Integrated Supply Chain Curriculum: Develop An Integrated Perspective On Supply Chain Strategy, Forecasting, Inventory, Logistics, Sourcing, Resilience And Financial Decisions While Applying AI And Analytics Across These Functions.

Generative & Agentic AI For Supply Chains: Work With Generative And Agentic AI Applications Designed To Generate Actionable Supply Chain Insights And Support Data-driven Decision-making.

AI-Powered Forecasting & Planning: Apply Quantitative Forecasting, Predictive Analytics And Time-series Techniques To Demand Planning And Operational Decision-making.

Predictive & Prescriptive Decision-Making: Use Analytics And Optimisation Approaches Across Inventory, Network Design, Disruption Management, Sourcing And Financial Decisions.

Learn Through Industry Case Studies: Examine How Organisations Across E-commerce, FMCG, Logistics, Automotive, Aviation, Manufacturing And Other Sectors Have Approached Contemporary Supply Chain Challenges Using AI And Analytics.

Hands-On Exposure To Analytical & AI Tools: Gain Exposure To Tools Including Python, R, Power BI, Advanced Excel With Solver, CPLEX, Any Logistix, Cursor And Generative/Agentic AI Platforms.

Applied AI Capstone Project: Bring Together Programme Concepts In A Group Project Addressing A Real-world Supply Chain Business Case Using AI And Analytical Tools.